Define and own THMA’s revenue data strategy in partnership with IT, ensuring data from Salesforce, marketing systems, and financial tools flows accurately into the data warehouse (Snowflake, Redshift, or equivalent).
Lead data modeling in an effort to establish our source of truth against initiatives such as forecasting, attribution, and top of funnel analytics.
Partner with IT’s Data Integration Engineer on ETL workflows, governance, and data quality.
Ensure documentation, scalability, and integrity across all RevOps systems.
Develop predictive and prescriptive models for pipeline health, conversion rates, and revenue growth.
Use SQL, Python, and BI tools (Power BI, Tableau, etc.) to analyze and visualize data.
Deliver executive dashboards and scorecards that provide a unified view of GTM performance.
Translate data insights into actionable recommendations that inform strategy and drive results.
Own and optimize THMA’s GTM technology stack (Outreach, Gong, enrichment and attribution tools).
Rationalize and integrate tools to reduce redundancy and improve automation and visibility.
Lead vendor evaluations, ROI analyses, and security reviews for new GTM investments.
Partner with IT to ensure integrations are secure, documented, and aligned with governance standards.
Build tools and insights that enable sales teams to manage pipeline, prospect, and report from a single source of truth.
Collaborate with Sales Leadership to align tools, workflows, and reporting with go-to-market priorities.
Design playbooks, training, and change management programs to drive adoption and measurable impact.
Partner with Marketing, Sales, Partnerships, and Finance to define and track key revenue KPIs.
Design processes and dashboards that turn data into actionable strategy.
Serve as the liaison between GTM, IT, and Data Engineering teams to align architecture with business priorities.
Champion data literacy and cross-functional enablement across THMA.
Research and evaluate emerging AI-driven GTM platforms, automation tools, and data technologies.
Pilot and implement innovative solutions that improve prospecting efficiency, data quality, and revenue intelligence.
Serve as a strategic advisor to Sales and RevOps leadership, ensuring tools and processes evolve with GTM needs.
Lead data-driven planning cycles, QBRs, annual planning, and board-level insights.
Provide actionable recommendations on pipeline coverage, sales productivity, and customer health.
Requirements
Bachelor’s degree in Business, Marketing, Data Science, Statistics, or related field.
8+ years of experience in Revenue Operations, Data Analytics, Business Intelligence, or GTM Technology Strategy.
Proven success scaling GTM systems and analytics in SaaS or consulting environments under $100M ARR.
Advanced proficiency in SQL and Python for data analysis and model development.
Strong understanding of ETL concepts and collaboration with data engineering teams.
Hands-on experience with data warehouses (Snowflake, Redshift) and BI tools (Power BI, Tableau).
Deep Salesforce expertise (administration, reporting, APIs); Salesforce Admin certification preferred.
Familiarity with Outreach, Gong, Marketo, and emerging AI-driven GTM tools.
Strong communicator with experience presenting complex data to executive audiences.
Data-driven operator with mastery of SaaS KPIs (CAC, LTV, NRR, churn, pipeline coverage).